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Research Associate, Cellular and Molecular Medicine Posting Number req26705 Department Cellular & Molecular Medicine Department Website Link https://cmm.arizona.edu/ Location Tucson Campus Address 1501 N
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possible. For further details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding
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possible. For further details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding
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the choice academic healthcare environment for patients, clinicians, scientists and students who seek exceptional, compassionate, precision cancer therapy; innovative clinical trials and prevention programs
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, validation, calibration, and inference. Working with large, longitudinal, structured and unstructured datasets in Linux and high-performance or GPU-accelerated computing environments. Applying rigorous methods
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The Ho Lab at Yale University School of Medicine (https://medicine.yale.edu/lab/yachiho/ ) is recruiting motivated, productive, independent, and collegial postdocs interested in viral infection, T
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why
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based in the College of IST and will have opportunities to collaborate broadly across Penn State, including with the Penn State Quantum Hub (https://quantum.psu.edu/ ), Penn State AI Hub(https
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of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement
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. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential expression, clustering